Expected Variables Present: Multi-Site, Exploratory, Longitudinal Analysis
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PEDSnet
Abstract
This check provides analyses to examine multiple sites. It generates an exploratory analysis summary across time of the proportion of patients who have a given variable to evaluate whether expected concepts are present in a dataset of interest across time.
Data Requirements
Probe
Clinical Assessment
Access Package
# install.packages("devtools")
devtools::install_github('ssdqa/https://github.com/ssdqa/conceptsetdistribution')Visualization Output
This check outputs a line graph that displays the proportion of patients belonging to a given variable & site within each site across a user provided time span. Hovering over a line will display the exact proportion for that site, variable, and time point. Lines can be isolated by clicking on the legend.
Raw Output
The raw data output of this check produces ten columns of data:
| Column | Data Type | Definition |
|---|---|---|
site |
character | the name of the site being targeted OR “combined” if multiple sites were provided |
time_start |
date | the start of the time period being examined |
time_increment |
character | the length of each time period |
total_pt_ct |
numeric | the total number of patients from the cohort in the domain table |
total_row_ct |
numeric | the total number of rows associated with patients from the cohort in the domain table |
variable_pt_ct |
numeric | the number of patients with evidence of the variable |
variable_row_ct |
numeric | the number of rows with evidence of the variable |
prop_pt_variable |
numeric | the proportion of patients with evidence of the variable |
prop_row_variable |
numeric | the proportion of rows with evidence of the variable |
variable |
character | the name of the variable |
Affiliation(s)
Funder(s)
This research was made possible through the generous support of Patient-Centered Outcomes Research Institute. The statements presented in this work are solely the responsibility of the author(s) and do not necessarily represent the views of PCORI, its Board of Governors, or its Methodology Committee.
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Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 License.
Cite this Data Quality Check
PEDSnet Data Coordinating Center. (2024, June). Expected Variables Present: Multi-Site, Exploratory, Longitudinal Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-468